face-swap
Maintainer: omniedgeio
1.8K
| Property | Value |
|---|---|
| Model Link | View on Replicate |
| API Spec | View on Replicate |
| Github Link | No Github link provided |
| Paper Link | No paper link provided |
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Model overview
The face-swap model is a tool for face swapping, allowing you to adapt a face from one image onto another. This can be useful for creative projects, photo editing, or even visual effects. It is similar to other models like facerestoration, GFPGAN, become-image, and face-to-many, which also work with face manipulation in various ways.
Model inputs and outputs
The face-swap model takes two images as input - the "swap" or source image, and the "target" or base image. It then outputs a new image with the face from the swap image placed onto the target image.
Inputs
- swap_image: The image containing the face you want to swap
- target_image: The image you want to place the new face onto
Outputs
- A new image with the swapped face
Capabilities
The face-swap model can realistically place a face from one image onto another, preserving lighting, shadows, and other details for a natural-looking result. It can be used for a variety of creative projects, from photo editing to visual effects.
What can I use it for?
You can use the face-swap model for all sorts of creative projects. For example, you could swap your own face onto a celebrity portrait, or put a friend's face onto a character in a movie. It could also be used for practical applications like restoring old photos or creating visual effects.
Things to try
One interesting thing to try with the face-swap model is to experiment with different combinations of source and target images. See how the model handles faces with different expressions, lighting, or angles. You can also try pairing it with other AI models like real-esrgan for additional photo editing capabilities.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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